64 citations · 91 across the 9 of their papers we have counts for
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eess.AS2023
Local Periodicity-Based Beat Tracking for Expressive Classical Piano Music
Ching-Yu Chiu, Meinard Müller, Matthew E. P. Davies +2
To model the periodicity of beats, state-of-the-art beat tracking systems use "post-processing trackers" (PPTs) that rely on several empirically determined global assumptions for t…
eess.AS2023
Stabilizing Training with Soft Dynamic Time Warping: A Case Study for Pitch Class Estimation with Weakly Aligned Targets
Johannes Zeitler, Simon Deniffel, Michael Krause +1
Soft dynamic time warping (SDTW) is a differentiable loss function that allows for training neural networks from weakly aligned data. Typically, SDTW is used to iteratively compute…